A Temporally Oriented Data Model.
Gad Ariav:
A Temporally Oriented Data Model.
ACM Trans. Database Syst. 11(4): 499-527(1986)@article{DBLP:journals/tods/Ariav86,
author = {Gad Ariav},
title = {A Temporally Oriented Data Model},
journal = {ACM Trans. Database Syst.},
volume = {11},
number = {4},
year = {1986},
pages = {499-527},
ee = {http://doi.acm.org/10.1145/7239.7350, db/journals/tods/Ariav86.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
The research into time and data models has so far focused on
the identification of extensions to the classical relational
model that would provide it with "adequate" semantic capacity
to deal with time. The temporally oriented data model (TODM)
presented in this paper is a result of a different approach,
namely, it directly operationalizes the pervasive
three-dimensional metaphor for time. One of the main results
is thus the development of the notion of the data cube: a
three-dimensional and inherently temporal data construct where
time, objects, and attributes are the primary dimensions of
stored data. TODM's cube adds historical depth to the tabular
notions of data and provides a framework for storing and
retrieving data within their temporal context. The basic
operations in the model allow the formation of new cubic
views from existing ones, or viewing data as one moves up
and down in time within cubes.
This paper introduces TODM, a consistent set of temporally
oriented data constructs, operations, and constraints, and
then presents TOSQL, a corresponding end-user's SQL-like
query syntax. The model is a restricted but consistent superset
of the relational model, and the query syntax incorporates
temporal notions in a manner that likewise avoids penalizing
users who are interested solely in the current view of data
(rather than in a temporal perspective). The naturalness of
the spatial reference to time and the added semantic capacity
of TODM come with a price - the definitions of the cubic
constructs and basic operations are relatively cumbersome.
As rudimentary as it is, TODM nonetheless provides a
comprehensive basis for formulating an external data model
for a temporally oriented database.
Copyright © 1986 by the ACM,
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BibTeX
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Referenced by
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DBMS Support for Nonmetric Measurement Systems.
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Spatial SQL: A Query and Presentation Language.
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GTL - A Graphical Language for Temporal Data.
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On the Semantics of (Bi)Temporal Variable Databases.
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Time Series Relation Data Model.
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Aggregates in the Temporal Query Language TQuel.
IEEE Trans. Knowl. Data Eng. 5(5): 826-842(1993)
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Efficient Indexing Methods for Temporal Relations.
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Queries on Change in an Extended Relational Model.
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The Temporal Query Language TQuel.
ACM Trans. Database Syst. 12(2): 247-298(1987)
BibTeX
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